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Generative AI use cases for the enterprise

IBM Big Data Hub

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. What are the types of AGI?